Questions tagged [choice]

This is for questions about discrete choice modeling

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Alternatives to Luces Choice Rule?

I'm currently working with a cognitive model (quite simple) which estimates probabilities of choosing an item out of a set of different items. This is done with Luces Choice rule. However, I'm not ...
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22 views

multilevel discrete choice model

Say a preference-survey asks respondents which of four products they prefer. For each product, I have the respondent's alternative specific covariate (let's say price) for each alternative included in ...
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27 views

Do I have a true within-subject design?

I am currently in the design phase for an experiment on different packaging attributes and their effects on an actual purchasing choice. In this context, I am asking myself a possibly trivial question:...
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21 views

Modeling and updating the reliability of two sources of information

I do not know the general framework this might fall under, apologies for the vague title. Assume that a decision maker's choice is dependent on two sources of information $f_1$ and $f_2$. Assume for ...
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29 views

Choice Modelling

I have data ...
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45 views

How to estimate a nested logit model using mlogit in R in the case of panel data and degenerate branche?

I'm using a Discrete Choice Experiment. I have 9 choice sets with 3 alternatives (2 alternatives and an opt-out), the alternatives are described with 4 attributes. I want to use a nested logit model ...
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104 views

How to add Indivivual Specific Variables for unlabelled alternative (using interactions) using mlogit with R?

I’m using DCE with unlabelled alternatives, 9 choice set with 3 alternative each (2 option and Optout alternative), described with 4 attributes. I've started with a conditional logit (with only ...
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27 views

R MLogit 'system is singular' error

I'm running a choice model comparing how users choose between multiple options in an app. I have the data formatted for use with MLogit: Price and dist_rank_cat are features that vary by ...
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20 views

Choose number or nothing with machine learning

I want to do supervised learning. I have a labeled dataset. Each label is normally a real number between [0,1] corresponding to a location of a certain object in the data, or NAN if the object is not ...
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172 views

identify random-choosers in discrete choice data using gmnl

I read (see sources below) that one can identify "random-choosers" (or mischievous respondents) with finite mixture models/latent class analysis as a seperate class. As far as I undersand it this can ...
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1answer
89 views

Statistical test for 3-way choice data

I have a data set of a 3-way mate choice experiment between species a, b and c. I aim to test whether males courted more often with females of their own species. The dependent variable is count data ...
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1answer
205 views

latent class model on choice data with gmnl - choosing starting values

I want to run a LCMNL (using the gmnl-package) on choice data. I read that starting values can influence class allocation since LCMNL can have several optima. I found the following example code that I ...
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1answer
133 views

nested logit with individual level fixed effect (panel data)

As is stated in the title, I have several questions concern the combination of nested logit and panel data. 1, Can we run nested logit with the individual fixed effect? this is useful when one has ...
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I'm trying to analyze my data using mlogit. I get singularity issues. I am very new to statistical modelling. Help appreciated!

The csv for the dataframe is here. Basically the column Mode represents the transportation choice available for the user to go to the airport, Choice represents the user's choice, and all the other ...
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1answer
139 views

Conditional logit or multinomial logit?

I have the following problem I need to use a discrete choice model to determine the time values (VOT) of 3 transport alternatives (car, bus and train). Looking at the literature of the discrete choice ...
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1answer
73 views

Logistic regression when the number of options differs by group?

I have data from a laboratory experiment in which I look at the effect of expanding the choice set on a particular option being chosen. The idea is that introducing an Option "B" reduces demand for an ...
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50 views

Experimental design for discrete choice response

I'm designing a survey where people need to choose one of three transportation alternatives. Here are the alternatives, their specific factors/attributes and the levels I intend to use for each: <...
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74 views

How to treat different status quo groups in a choice experiment?

I have a choice experiment where respondents choose between a status quo and one alternative. Before the choice questions, respondents are allocated to four different groups which determine the levels ...
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2answers
58 views

What is the appropriate test for a choice experiment where multiple subjects perform the experiment multiple times?

I'm testing multiple subjects in a choice task where they are either right or wrong. By chance they would choose the right answer 50% of the time. Each of my 11 subjects performs the test 24 times. To ...
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1answer
179 views

Probability of choosing the degenerate branch in a nested multinomial logit

This may be an obvious question, but I'm flummoxed. Let's say I've got a nested logit model with a degenerate nest—say, a healthcare choice model where the branches are Home vs. Hospital. The Home ...
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69 views

Independence of irrelevant alternatives practical example

I have frequently heard descriptions of the IIA problem for logit regression phrased in terms of the famous red bus/blue bus, or some direct metaphor for that thing. However, I was curious as to what ...
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82 views

Choice design acc. to d-efficiency (Ngene): more than one block per respondent?

I have a question with regard to choice design for discrete choice experiments. Quite some time ago I conducted a choice experiment and now I am trying to publish a paper on that study. I got some ...
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40 views

Discrete choice model with exclusionary choices

Suppose we have many agents $j\in \{1,..,J\}$ choosing over options $i$ to maximize their outcome of the form $$ max_i ~~Y_{ij} = \beta x_i + u_{ij} $$ where $u_{ij}$ is an error term. The options, ...
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47 views

Recovering latent value from choice probabilities.

Suppose that people, indexed by $j$, must choose between options $i$ according to $$ max_i ~~(a_i +\epsilon_{ij})$$ Where $\epsilon_{ij}$ is an Extreme value Type I random variable (error term), ...
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59 views

Discrete choice model with autoregressive error term

I consider consumer choice over time $t$ over a set of alternatives $J$, whereby a consumer's perceived utility of option $j$ is $u_{jt}=x_{j}+\mu_{jt}$ with $\mu_{j0}=\epsilon_{j0}\sim\mathcal{F}(\...
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1answer
594 views

MLE for the conditional logit model seems to have awful precision?

I'm simulating the data underlying a conditional logit model then doing my own MLE estimation using optim. However, even with an unreasonably large amount of data, ...
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1answer
476 views

Rstats: From Discrete choice to Conjoint utilities

I'm having trouble figuring out how to correctly calculate Conjoint Part-worth-utility from a Discrete choice experiment. I have recently run a Pilot study to analyse in R where I used the packages “...
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1answer
91 views

Is this a nested logit when my regression equations are similar to that of a multinomial regression?

Let the mode of transport be a categorical random variable with three categories, representing Car, Bus and ...
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1answer
106 views

Multiple Choice Test: Probability of Identical Incorrect Answers

Setup: We consider a multiple choice test with 30 questions, each consisting of four potential answers. We know that (on average) neighbors answer 50% of all questions jointly correct. Assumption: ...
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1answer
203 views

BIC vs. intuition

This may be an obvious question: what do you do when the AIC or BIC choose a model that makes no sense in reality. I'm looking at data for predictors of hospital selection, and things like a spouse's ...
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96 views

relative frequency

I have a number of data such as the following. Each represents a trial where two options (V1 and V2) were given to a participant ("judge") and they were asked to pick one over the other. V1 and V2 can ...
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1answer
280 views

Estimation of Demand and Substitution in Case of Multinomial Logit Model

In MNL model, given the different alternative choices, we estimate the probability of choice across different options. E.g. using the fishing data, we can use the following calculations to estimate ...
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30 views

Is it mathematically possible to do a discrete choice experiment with uneven choice sets?

Hard to express what I'm trying to ask in a short title. I have a dataset in which respondents are asked to choose a hospital at which to deliver their baby. However...some respondents get to choose ...
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1answer
42 views

Probability of pipetting X number of cells in a solution

I had a biology friend ask me this question: Suppose I had 50 ml of solution in which exactly five red blood cells that are individually suspended (i.e., not sticking to each other). If I collect 2 ...
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93 views

Modeling votes on discrete outcomes with mlogit

I am looking to figure out do phone calls effect votes for a product in a product trial and I am wondering what the correct model design is. I have a toy dataset below that describes my problem. <...
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51 views

Proper family choice of GLM [duplicate]

I am debating this with some friends at the moment and would like to know what the stack exchange community can add to this discussion. When selecting the choice of the distribution and link function,...
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2answers
119 views

What is the choice of statistical test when the dependent variable is binary but independent variable is multinomial

What is the choice of statistical test if you have a binary dependent variable but a multinomial independent variable? Example will be Outcome - Good skin vs Bad skin Skin Care product - A vs B vs C ...
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1answer
283 views

Non-categorical choice: multinomial logit or something different?

My case is quite simple. Customers are faced with series of choices of unique alternatives. For example: Customer 1 chooses one of 1,2,3,4,5,6 Customer 1 chooses one of 7,8,9 Customer 2 chooses one ...
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1answer
49 views

Balls in a bucket

I have 4,000 empty buckets and I randomly put one ball in 200 buckets, so there are 200 buckets with balls, and 3,800 without. I then randomly pick one bucket. The chances of picking a bucket with a ...
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304 views

Discrete Choice Modeling from Aggregate Data

I am working on a problem where customers make choices. A traditional setting for problem for example would be: Model the Travel by air, bus, car. Each choice is made based on several variables ...
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1answer
24 views

Classification with varying choice set (e.g. Auction)

I have the following situation: I am a customer and I search for a commodity to buy. I receive several offers from various companies and I must make a choice which one to buy. After some time I make ...
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349 views

Conditional Logit in a Panel Data setting with varying alternatives over waves

I am working on a panel data setting and this data is on cigarette smoking behavior of individuals. I am specifically focusing on two variables - the brand name of the cigarette that the individual ...
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1answer
57 views

How to interpret estimation (regression, discrete choice ) result?

In a discrete choice model setting, lets say my model function is $U(x)= \beta_0+\beta_1X_1+\beta_2X_2+\beta_3X_3+\beta_4X4+\epsilon$ with independent variable $X_1$ has a value ranges from -2.5 ...
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1answer
48 views

Statistical method to find the effect of attributes on customer's choice?

At every trial a person chooses one of several options (the number of options varies from trial to trial). Every option has several numerical attributes. Attributes are the same for every option but ...
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1answer
191 views

How to do multinomial regression when baseline choice percentage of one choice item is 0%

I am trying to find a clever way to analyze the choice ratios between a baseline condition and a different condition. Specifically, I have a baseline condition, where the choice ratio between two ...
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151 views

Choice probabilities with Frechet distributions that have different minimums

For two independent Frechet distributed variables that have the same shape parameter but different scale parameters: $$ F_i(x) = e^{-\psi_i x^{-\epsilon}}, i=1,2$$ The probability of one variable ...
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2answers
154 views

Assessing predictive validity of choice models

I am trying to assess predictive validity of a discrete choice model. When with a testing set consisting of 6 choices in each set, it has the hit ratio of 33% (i.e., 33% of the time it correctly ...
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254 views

How to predict the probability of a discrete choice problem?

I am looking for a discrete choice model (e.g. a logit) to describe the reaction of a pedestrian when a car is arriving. Depending on the severity of the conflict and other geometrical parameters, he ...
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1answer
1k views

D-efficiency in choice-based conjoint analysis

How to calculate the D-efficiency of experimental designs in conjoint analysis? Specifically, how do you specify the $X$ and the number of $nBetas$ in this formula: $$ D_e=\frac{|X'X|^{1/nBetas}}{...
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93 views

Utility partworths from dicrete choice experiments

Is it possible to estimate utility partworths from a discrete choice experiment (DCE)? For example, if you construct a DCE using the R package support.CEs and ...